Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers

• DOI: 10.2463/mrms.mp.2019-0018
• Publication Date: 2019-09-03T22:04:52Z
• Authors: Masafumi Kidoh; Kensuke Shinoda; Mika Kitajima; Kenzo Isogawa; Masahito Nambu; Hiroyuki Uetani; Kosuke Morita; Takeshi Nakaura; Machiko Tateishi; Yuichi Yamashita; Yasuyuki Yamashita
• Keywords: 03 medical and health sciences; Deep Learning; 0302 clinical medicine; Phantoms, Imaging; Image Interpretation, Computer-Assisted; Brain; Humans; Signal-To-Noise Ratio; Magnetic Resonance Imaging; Major Paper

Purpose: To test whether our proposed denoising approach with deep learning-based reconstruction (dDLR) can effectively denoise brain MR images.